The demand for Big Data is increasing day by day. The [course_title] course illustrates the essential skills of Big Data including the JS application.
The course explains how digital technologies work. You will learn to enhance your coding skills through engaging and collaborative assignments. The basic concepts of algorithms, programming concepts such as data selection, iteration and functional decomposition, data abstraction and organisation will be focused on the course.
Apart from these, the course teaches you how to perform simple data visualisations using Processing JS.
Shortly, the course evaluates your knowledge and skills in solving small-scale data science problems working with real-world datasets.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: University of Adelaide
Course Curriculum
| Orientation | |||
| Welcome to Programming for Data Science | 00:03:00 | ||
| Introduction to the ProgramX Workspace | 00:03:00 | ||
| Module 1: Creative Code - Computational Thinking | |||
| Section 1: Introduction | 00:01:00 | ||
| What Does Code Mean For You? | 00:03:00 | ||
| Getting Into The Detail | 00:04:00 | ||
| What is Data Science? | 00:03:00 | ||
| Algorithms For Drawing Multiple Shapes | 00:03:00 | ||
| Order Is Important | 00:04:00 | ||
| Introducing Colour With Code | 00:05:00 | ||
| A Closer Look | 00:02:00 | ||
| Module 2: Building Blocks - Breaking It Down And Building It Up | |||
| Section 2: Introduction | 00:02:00 | ||
| Manipulating Shape Attributes Using Variables | 00:03:00 | ||
| More Manipulation | 00:03:00 | ||
| Weights And Shapes | 00:01:00 | ||
| Variables and Expressions | 00:04:00 | ||
| Continuing Our Example of Expressions | 00:04:00 | ||
| Let’s Take A Second To Review | 00:02:00 | ||
| Smarter Code – More Useful Variables | 00:03:00 | ||
| Smarter Coding Extended | 00:04:00 | ||
| Exploring Data | 00:04:00 | ||
| Module 3: Repetition: Creating and recognising patterns | |||
| Section 3: Introduction | 00:04:00 | ||
| Introduction to Repetition | 00:04:00 | ||
| Repetition in Processing | 00:06:00 | ||
| A Further Example | 00:04:00 | ||
| Combining Data and Repetition | 00:03:00 | ||
| More Loops | 00:04:00 | ||
| Loop-de-loop | 00:04:00 | ||
| More For Loops and Nesting | 00:02:00 | ||
| Nested Loops Yee Ha! | 00:05:00 | ||
| Module 4: Choice - Which Path To Follow? | |||
| Section 4: Introduction | 00:05:00 | ||
| Making Choices | 00:03:00 | ||
| More Complicated Choices | 00:03:00 | ||
| The Four Petals | 00:03:00 | ||
| Decision Making | 00:02:00 | ||
| More Decisions | 00:05:00 | ||
| Decisions, Decisions | 00:03:00 | ||
| And More Decisions | 00:04:00 | ||
| Using What We Know | 00:05:00 | ||
| Module 5: Repetition - Going Further | |||
| Section 5: Introduction | 00:02:00 | ||
| Creative Repetition | 00:03:00 | ||
| Building Patterns | 00:03:00 | ||
| The Frog Invasion | 00:04:00 | ||
| Frogs Galore! | 00:02:00 | ||
| While Loops | 00:03:00 | ||
| Taking Our Shapes Further! | 00:04:00 | ||
| Creating Curves! | 00:02:00 | ||
| Translating, Rotating And Scaling! | 00:03:00 | ||
| Module 6: Section 6: Testing and Debugging | |||
| Section 6: Introduction | 00:01:00 | ||
| Introduction to Testing | 00:03:00 | ||
| Further Testing | 00:03:00 | ||
| When Code goes Wrong | 00:02:00 | ||
| Debugging Code | 00:04:00 | ||
| Style is Everything | 00:04:00 | ||
| Styling our Code | 00:03:00 | ||
| Module 7: Arranging Our Data | |||
| Section 7: Introduction | 00:03:00 | ||
| What are Data Structures? | 00:03:00 | ||
| Static Arrays | 00:05:00 | ||
| Using our Arrays | 00:03:00 | ||
| Weather Reporting (Activity 18) | 00:02:00 | ||
| Dynamic Arrays | 00:05:00 | ||
| Using Dynamic Arrays | 00:04:00 | ||
| Module 8: | |||
| Section 8: Introduction | 00:03:00 | ||
| Introduction to Functions | 00:03:00 | ||
| Building and Using Functions | 00:04:00 | ||
| Decomposing Problems | 00:02:00 | ||
| Using Decomposition | 00:04:00 | ||
| Practice with Functions | 00:04:00 | ||
| Module 9: Data Science in Practice | |||
| Section 9: Introduction | 00:02:00 | ||
| Data Visualisation | 00:02:00 | ||
| Data Analysis | 00:02:00 | ||
| Analysis and Visualisation | 00:02:00 | ||
| Module 10: Where Next? | |||
| Section 10: Introduction | 00:01:00 | ||
| What we’ve done | 00:03:00 | ||
| Future Learning | 00:01:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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